82 lines
68 KiB
Plaintext
82 lines
68 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# Pie chart\n",
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"\n",
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"A simple pie chart example with matplotlib.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAnQAAAHcCAYAAABfzjfRAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAxzFJREFUeJzsnXdcU2f7/z8ZQCBsQQUcuHHjAvfADWpb7fM82lbbOupoq7baoXXUWvde7dPa1qeutlatiIoTcIsL3KiguEBkr0BCxu+P/HJ/EwENkOSchOv9evmS+5Cc+yKEnM+5pkCj0WhAEARBEARBWC1Crg0gCIIgCIIgqgYJOoIgCIIgCCuHBB1BEARBEISVQ4KOIAiCIAjCyiFBRxAEQRAEYeWQoCMIgiAIgrBySNARBEEQBEFYOSToCIIgCIIgrBwSdARBEARBEFYOCTqCIAiCIAgrhwQdQRAEQRCElUOCjiAIgiAIwsohQUcQBEEQBGHlkKAjCIIgCIKwckjQEQRBEARBWDkk6AiCIAiCIKwcEnQEQRAEQRBWDgk6giAIgiAIK4cEHUEQBEEQhJVDgo4gCIIgCMLKIUFHEARBEARh5ZCgIwiCIAiCsHJI0BEEQRAEQVg5JOgIgiAIgiCsHBJ0BEEQBEEQVg4JOoIgCIIgCCuHBB1BEARBEISVQ4KOIAiCIAjCyiFBRxAEQRAEYeWIuTaAIAjidWg0GhQWFqKgoABFRUVQq9WVOo+dnR2kUimcnZ3h4OBgYisJgiC4gwQdQRAWRyaTISMjA9nZ2cjJyTH4Pzs7G/n5+cjPz0dBQUGVRVx52NnZwdnZGc7OzpBKpRg+fDj69+8PALhw4QKePn0KT09PeHp6wsPDAzVq1ICzs7NJbSAIgjAVJOgIgjALKpUKz549w9OnT/HkyRODf9nZ2Vybh5KSEiYgASA/P59978iRI4iIiCj1HHt7e3h4eMDPzw/169dHvXr1UL9+fdSvXx9+fn4Qi+kjlSAIbqBPH4IgqkRWVhYeP35sINyePn2KlJQUqFQqrs0zGldXV/Z1Tk5OmY9RKBRIS0tDWloarl69avA9kUjEhJ7un07weXl5mdN0giAIEnQEQRjPixcvcOfOHfYvKSkJhYWFXJtlEtzc3NjXubm5FX6+SqXC48eP8fjxY5w+fdrge1KpFPXr10eDBg3QokULtGrVCs2aNSOPHkEQJoM+TQiCKJeioiL8888/TMBlZmZybZLZMMZDV1kKCwtx+/Zt3L59GwcPHgSgDd82a9YMrVq1Yv/8/PxMui9BENUHEnQEQQAA8vLycOvWLdy+fRtjxoyBnZ0d7OzssHXrVsjlcq7NMztV9dBVFIVCgRs3buDGjRvsWM2aNREYGIj27dsjMDAQjRo1gkAgMLstBEFYPyToCKKakpmZiZs3b+LWrVu4desWnj59Co1GAwDo0qULWrRoAbFYjGbNmuH69escW2t+dB46tVptUCBhSV68eIGjR4/i6NGjALQiMzAwEO3atUO3bt3QoEEDTuwiCIL/kKAjiGqCWq1GQkICYmNjcfHiRTx79qzcxyYkJKBFixYAgFatWtm8oLOzs4OTkxMAbbWrqVukVJbc3FycPHkSJ0+exNq1a1GvXj306tULvXr1Qps2bSAUUm94giC0kKAjCBtGLpcjPj4esbGxuHTpktGhxISEBPZ1q1atzGUebzBn/pwpefz4MbZt24Zt27bBw8MD3bt3R69evdC5c2dIJBKuzSMIgkNI0BGEjZGbm4tLly4hNjYW8fHxlcp/u3PnDvu6ZcuWEAgELBxri+gLOkvkz5mC7OxsREREICIiAg4ODggODkavXr3Qs2dPeHh4cG0eQRAWhgQdQdgAKSkpiI2NRWxsLBISEqocMszNzUVKSgp8fX3h6uqKunXr4vHjxyayln9Yo6DTRy6X49SpUzh16hSEQiFat27NQrP169fn2jyCICwACTqCsFJSUlIQFRWF8+fP48mTJyY//507d+Dr6wtA66UjQWcdqNVqXLt2DdeuXcP69esREBCAoUOHYtCgQQaVvARB2BYk6AjCiigqKsKZM2dw4sQJ3L5926x7JSQkoG/fvgC0eXSRkZFm3Y9LrCWHrjIkJCQgISEB69atQ8+ePTF06FB07twZIpGIa9MIgjAhJOgIgudoNBrcunULx48fx7lz51BcXGyRffXz6Gy9MMLSPei4QKFQ4Pjx4zh+/Di8vb0xZswYjBo1imuzCIIwESToCIKn5OXl4fjx4zhy5AhSU1Mtvv+TJ09QWFgIqVSKunXrwtXVFXl5eRa3wxLoCzpb89CVRXp6ukGxzNOnT1GzZk3Y29tzaBVBEFWBBB1B8Ixbt27h8OHDOHfuHEpKSjizQ6PRICEhAR06dIBAIEDLli1x/vx5zuwxJ7aUQ2cMIpEIQ4YMYesvv/wSSUlJGD58OEaOHEmFFARhhZCgIwgeIJPJEBUVhSNHjuDRo0dcm8O4c+cOOnToAEAbdiVBZxv06NEDXl5eAICkpCRcuXIFAPDbb79hy5Yt6NKlC0aOHIm+fftCLKbLBEFYA/SXShAckp+fj4iICBw4cAAFBQVcm1MK/QbDLVu25NAS81LdBN2bb77Jvt69e7fB9zQaDc6dO4dz587B29sbI0eOxHvvvQd3d3fLGkkQRIUgQUcQHJCdnY19+/bh8OHDKCoq4tqccrl37x5UKhVEIhECAgIgFouhVCq5NsvkVCdBV6tWLXTp0gWAtlBi37595T42PT0dGzZswK+//opRo0Zh7NixzLNHEAS/oEGABGFB0tPT8dNPP2HChAn4559/eC3mAKC4uBjJyckAAAcHBzRu3Jhbg8xEdahy1TF06FDWsuTEiRPIysp67XNkMhl+/fVXhISE4LvvvuOkSIcgiFdDgo4gLEBKSgrWr1+PiRMn4uDBg1AoFFybZDS23r5EKBTCxcUFgFa4WNPvpqIIhUK88cYbbP1yuPV1yOVy7NixA/3798fs2bOZ2CcIgntI0BGEGXn06BFWrlyJKVOm4Pjx41YZrrR1Qefs7AyhUPtRaOveuaCgIPj4+ADQtio5e/Zspc5TUlKCPXv2IDQ0FJ9//jnu3btnSjMJgqgElENHEGbg/v372LVrFy5evGj1Q+31CyNsUdBVp/w5/WKIPXv2VPm9qVKpcPDgQRw6dAghISGYNGkS2rRpU0UrCYKoDCToCMKEPH78GP/73/9w+fJlrk0xGenp6cjIyICXlxdq1KiB2rVr4/nz51ybZTJseeyXPh4eHujduzcArRDbu3evyc6t0Whw4sQJnDhxAt27d8fkyZPRsWNHk52fIIjXQyFXgjABOTk5+OGHHzB16lSbEnM6bLl9SXWZEjFkyBDWU+706dNmE+VnzpzBu+++i0mTJuHBgwdm2YMgiNKQoCOIKqBQKLB7925MmjQJhw8fhlqt5toks2DLeXTVJeSqXwyxa9cus+8XHR2NoUOHYuHChcjOzjb7fgRR3SFBRxCV5Pz585gyZQq2bt0KmUzGtTlmhQSddRMYGAh/f38A2hD6yZMnLbKvUqnE9u3bMWDAAPz66682XUFMEFxDgo4gKkl6ejpevHjBtRkW4eHDh2yYe4MGDeDk5MSxRaajOgg6/WKIvXv3WrzaOi8vD8uXL0doaCiOHj1q0b0JorpAgo4gjCQ3NxcRERFsHRYWhrp163JokeVQqVSsNYVIJELz5s05tsh02Lqgc3Z2Rr9+/QBoixf27NnDmS1PnjzBp59+inHjxlF+HUGYGBJ0BPEa1Go1Dh8+jBkzZuCPP/7AxYsXAWiFzfjx4zm2znLoh11tqTDC1qdEDB48GBKJBAAQGxuLR48ecWyRtnBi2LBhWL58OQoLC7k2hyBsAhJ0BPEK7ty5g1mzZhnkye3YsQMlJSUAgHbt2qFTp05cmmgxbLUfna1XueqHW//++2/uDHmJkpIS/Prrrxg0aJCB55sgiMpBgo4gyiA7OxsbN27EwoUL8eTJE4Pvpaen4+DBg2w9btw41g7ClklISGCNaFu0aMGmK1g7thxybd68OZo1awZAK1b5mL/24sULzJw5E2P
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"n = 20\n",
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"Z = np.ones(n)\n",
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"Z[-1] *= 2\n",
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"\n",
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"plt.axes((0.025, 0.025, 0.95, 0.95))\n",
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"\n",
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"plt.pie(Z, explode=Z * 0.05, colors=[f\"{i / float(n):f}\" for i in range(n)])\n",
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"plt.axis(\"equal\")\n",
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"plt.xticks([])\n",
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"plt.yticks()\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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